Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is pedelec-elektro-fahrrad.de.
Submitted URL: https://pedelec-elektro-fahrrad.de
AI Security Verdict
Low Risk
Confidence: 82%
The site shows no credential or payment collection, no malicious indicators, and appears to be a news/blog page; risk is low.
Risk Factors
Safety Factors
Details
Page Title
Aktuelle News und Infos zu Pedelecs und E-Bikes - Pedelecs und E-Bikes
Scan Type
public
Language
German
Category
travel tourism
(88%)Domain Information
The domain name 'pedelec-elektro-fahrrad.de' uses the German country-code top-level domain (.de) with no subdomain. The core label 'pedelec-elektro-fahrrad' covers 23 characters containing 8 vowels alongside 13 consonants, plus 2 hyphens. Splitting it apart reveals nine words: pe, de, lec, el, ek, tro, fah, r, rad. The median word length lands at two characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 146.75.122.132Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 16 | 2.207.134.25 | Gelsenkirchen, North Rhine-Westphalia, Germany | AS3209Vodafone GmbH |
| 16 | 104.26.15.160Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 104.18.11.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 142.251.14.101Google · CDN | United States | AS15169Google LLC |
| 16 | 142.251.110.157Google · CDN | United States | AS15169Google LLC |
| 16 | 192.178.170.95Google · CDN | United States | AS15169Google LLC |
| 16 | 87.106.37.136 | Germany | AS8560IONOS SE |
| 133 | 8 | - | - |
Page Statistics
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data